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flan-base-req-extractor

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
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flan-base-req-extractor
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html'''
<table>
  <tr>
    <th>Epoch</th>
    <th>Training Loss</th>
    <th>Validation Loss</th>
    <th>Rouge1</th>
    <th>Rouge2</th>
    <th>Rougel</th>
    <th>Rougelsum</th>
    <th>Gen Len</th>
  </tr>
  <tr>
    <td>0</td>
    <td>0.357300</td>
    <td>0.280200</td>
    <td>0.732700</td>
    <td>0.685700</td>
    <td>0.695100</td>
    <td>0.700500</td>
    <td>303.733300</td>
  </tr>
  <tr>
    <td>2</td>
    <td>0.257200</td>
    <td>0.244938</td>
    <td>0.742900</td>
    <td>0.702100</td>
    <td>0.712600</td>
    <td>0.717700</td>
    <td>330.200000</td>
  </tr>
  <tr>
    <td>2</td>
    <td>0.229900</td>
    <td>0.230673</td>
    <td>0.789800</td>
    <td>0.747500</td>
    <td>0.759500</td>
    <td>0.765300</td>
    <td>267.666700</td>
  </tr>
  <tr>
    <td>4</td>
    <td>0.209900</td>
    <td>0.213156</td>
    <td>0.800300</td>
    <td>0.759900</td>
    <td>0.766400</td>
    <td>0.771700</td>
    <td>274.466700</td>
  </tr>
  <tr>
    <td>4</td>
    <td>0.196200</td>
    <td>0.207821</td>
    <td>0.782800</td>
    <td>0.745000</td>
    <td>0.754900</td>
    <td>0.756200</td>
    <td>288.333300</td>
  </tr>
  <tr>
    <td>6</td>
    <td>0.183900</td>
    <td>0.203908</td>
    <td>0.752000</td>
    <td>0.715000</td>
    <td>0.726300</td>
    <td>0.727100</td>
    <td>309.755600</td>
  </tr>
  <tr>
    <td>6</td>
    <td>0.174500</td>
    <td>0.203386</td>
    <td>0.786100</td>
    <td>0.743400</td>
    <td>0.750800</td>
    <td>0.756200</td>
    <td>252.422200</td>
  </tr>
  <tr>
    <td>8</td>
    <td>0.165500</td>
    <td>0.190161</td>
    <td>0.771100</td>
    <td>0.733500</td>
    <td>0.735600</td>
    <td>0.740400</td>
    <td>292.288900</td>
  </tr>
  <tr>
    <td>8</td>
    <td>0.158300</td>
    <td>0.192600</td>
    <td>0.774900</td>
    <td>0.737300</td>
    <td>0.743300</td>
    <td>0.744300</td>
    <td>285.800000</td>
  </tr>
  <tr>
    <td>9</td>
    <td>0.152200</td>
    <td>0.192426</td>
    <td>0.795200</td>
    <td>0.758900</td>
    <td>0.754700</td>
    <td>0.759000</td>
    <td>284.266700</td>
  </tr>
  <tr>
    <td>15</td>
    <td>0.124400</td>
    <td>0.182381</td>
    <td>0.787800</td>
    <td>0.742800</td>
    <td>0.745100</td>
    <td>0.746900</td>
    <td>274.533300</td>
  </tr>
  <tr>
    <td>17</td>
    <td>0.120300</td>
    <td>0.183192</td>
    <td>0.779400</td>
    <td>0.739000</td>
    <td>0.734500</td>
    <td>0.739300</td>
    <td>289.266700</td>
  </tr>
</table>


'''